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57 lines
1.7 KiB
Markdown
57 lines
1.7 KiB
Markdown
# Quick start
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## 运行
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### 运行示例：
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`python3 main.py --image=registry.zilliz.com/milvus/engine:branch-0.3.1-release --run-count=2 --run-type=performance`
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### 运行参数：
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--image: 容器模式，传入镜像名称，如传入，则运行测试时，会先进行pull image，基于image生成milvus server容器
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--local: 与image参数互斥，本地模式，连接使用本地启动的milvus server进行测试
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--run-count: 重复运行次数
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--suites: 测试集配置文件，默认使用suites.yaml
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--run-type: 测试类型，包括性能--performance、准确性测试--accuracy以及稳定性--stability
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### 测试集配置文件：
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`operations:
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insert:
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[
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{"table.index_type": "ivf_flat", "server.index_building_threshold": 300, "table.size": 2000000, "table.ni": 100000, "table.dim": 512},
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]
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build: []
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query:
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[
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{"dataset": "ip_ivfsq8_1000", "top_ks": [10], "nqs": [10, 100], "server.nprobe": 1, "server.use_blas_threshold": 800},
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{"dataset": "ip_ivfsq8_1000", "top_ks": [10], "nqs": [10, 100], "server.nprobe": 10, "server.use_blas_threshold": 20},
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]`
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## 测试结果：
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性能：
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`INFO:milvus_benchmark.runner:Start warm query, query params: top-k: 1, nq: 1
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INFO:milvus_benchmark.client:query run in 19.19s
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INFO:milvus_benchmark.runner:Start query, query params: top-k: 64, nq: 10, actually length of vectors: 10
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INFO:milvus_benchmark.runner:Start run query, run 1 of 1
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INFO:milvus_benchmark.client:query run in 0.2s
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INFO:milvus_benchmark.runner:Avarage query time: 0.20
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INFO:milvus_benchmark.runner:[[0.2]]`
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**│ 10 │ 0.2 │**
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准确率：
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`INFO:milvus_benchmark.runner:Avarage accuracy: 1.0` |